Senior Software Developer

Change the world. Love your job.About the JobAs a Data Engineer on the Smart Manufacturing and Automation team, you will design and implement data models that transform raw semiconductor manufacturing data into analytics-ready assets. Using modern lakehouse technologies (Spark, Apache Iceberg, Delta Lake, and OLAP SQL Engines), you will build ETL pipelines that integrate data from shop floor systems spanning ISA-95 Levels 0-4, processing Petabytes of data.This role requires understanding of manufacturing data standards including ISA-95 and SEMI standards such as E90 (Substrate Tracking), E10 (Equipment Reliability, Availability, Maintainability, and Utilization), E116, etc. You will translate these domain concepts into scalable data structures that serve downstream analytics and reporting.Key ResponsibilitiesDesign and implement data models for manufacturing data domains including equipment performance, substrate tracking, and production metrics, electrical test, etc.Build ETL/ELT pipelines using PySpark and SQL to load data into Iceberg and Delta Lake tables with proper historization and auditabilityDevelop data transformations aligned with ISA-95 hierarchy and SEMI standardsCreate business vault and information marts that translate raw manufacturing data into analytics-ready data productsImplement data quality checks and expectations within pipelines to ensure accurate, reliable dataCollaborate with Manufacturing Engineering and Analytics teams to understand data requirements and deliver solutionsDocument data models, transformation logic, and business rulesOptimize query performance by optimizing partitioning, clustering, and/or indexing strategies in various database technologies, Delta, and Iceberg. Why TI?Engineer your future. We empower our employees to truly own their career and development. Come collaborate with some of the smartest people in the world to shape the future of electronics.We're different by design. Diverse backgrounds and perspectives are what push innovation forward and what make TI stronger. We value each and every voice, and look forward to hearing yours. Meet the people of TIBenefits that benefit you. We offer competitive pay and benefits designed to help you and your family live your best life. Your well-being is important to us. Please find our country-specific benefits hereAbout Texas Instruments Texas Instruments Incorporated (Nasdaq: TXN) is a global semiconductor company that designs, manufactures and sells analog and embedded processing chips for markets such as industrial, automotive, data center, personal electronics and communications equipment. At our core, we have a passion to create a better world by making electronics more affordable through semiconductors. This passion is alive today as each generation of innovation builds upon the last to make our technology more reliable, more affordable and lower power, making it possible for semiconductors to go into electronics everywhere. Learn more at TI.com. Texas Instruments is an equal opportunity employer and supports a diverse, inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, disability, genetic information, national origin, gender, gender identity and expression, age, sexual orientation, marital status, veteran status, or any other characteristic protected by federal, state, or local laws. If you are interested in this position, please apply to this requisition. TI does not make recruiting or hiring decisions based on citizenship, immigration status or national origin. However, if TI determines that information access or export control restrictions based upon applicable laws and regulations would prohibit you from working in this position without first obtaining an export license, TI expressly reserves the right not to seek such a license for you and either offer you a different position that does not require an export license or decline to move forward with your employment.Minimum RequirementsBachelor's degree in Computer Science, Data Science, or related field8+ years of experience in data engineering or analyticsStrong SQL and Python/PySpark for data transformationsExperience with OLAP databases such as Redshift, BigQuery, Druid, Clickhouse, StarRocks, etc.Experience with lakehouse table formats: Apache Iceberg, Delta Lake, or similarUnderstanding of ETL/ELT patterns and data pipeline developmentFamiliarity with Airflow or similar orchestration toolsPreferred QualificationsData Vault 2.0 modeling methodology (Hubs, Links, Satellites, PITs, Bridges)Knowledge of ISA-95 hierarchy and/or SEMI standardsData quality frameworks (Great Expectations or similar)Experience in semiconductor or discrete manufacturing environmentsDatabricks experience (Delta Live Tables, Unity Catalog)Full timePosting Date: 2026-03-19